Volume 11 | Issue 1 |

 Abstract

Benefits of rope exercise

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Benefits of rope exercise

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Creative Commons Attribution 4.0 and The Open Definition

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Agroforestry is the oldest farming practice that many civilizations have used, in which women are always a part of farming and forestry practice and sustainability. The agroforestry economy as a whole has changed and prospered greatly as a result of the combination of science and technology. However, this most recent progress is insufficient to eliminate women's labour as a necessary component of the economy. Farming system continues to absorb and use female labour force in emerging nations such as India, but fails to recognize them as employed/hired labour. Farming system, India's single greatest output effort, accounting for 25% of GDP, is gradually becoming a female activity. The agricultural industry employs almost one-fifth of all economically engaged women in the country. Women account for 48% of self-employed farmers in India. Dairying employs 75 million women vs 15 million men, while animal husbandry employs 20 million women versus 1.5 million males. Women now have an important role in the selection, breeding, growing, processing, and harvesting of food crops. Significant attention is necessary for their capacity building in agroforestry technologies, notably processing, marketing, and activities requiring technical skills, in order to empower people through this land use system. The difficulties faced by rural women are exacerbated by illiteracy, underdevelopment, unemployment, and poverty. Despite the fact that women constitute the most efficient labour force in agriculture, their needs and challenges are often overlooked by rural development projects. Female labor's multitasking ability brought major benefits to agricultural productivity, rural output, economic vibrancy, home food security, family health, family economic security, and welfare. In the present paper attempt has been made to study the major contribution of women to the agroforestry management system

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Feminist Perspectives of Agroforestry Management in Rural Odisha: Some Reflections

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Increasing awareness in recombinant protein technologies for human and animal health applications has focused on microalgae as a platform with the potential to meet a large impending demand. Here we describe a microalgae protein expression system and compare the advantages and disadvantages to other platforms currently operating on a commercial level. High-value recombinant proteins that have been produced in microalgae are presented, and strategies for developing production strains with improved commercial properties are discussed.

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Microalgae, Protein, Biodiesel, Biofuel and Triacylglycerol

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Crime against women is one of the dangerous aspects of our society which is growing continuously in intensity and complexity. The primary objective of this project is to distinguish various crimes using clustering techniques based on the occurrences and regularity. This project mainly focuses on machine learning in pattern recognition for analysis of patterns through Indian states for crime against women. In this project, the crime data is classified using the K-means clustering algorithm. In this there would be a concept of clustering methodology along with machine learning algorithms like cleaning the dataset, clustering the performance of each algorithm is analysed and the best algorithm is found out which is having maximum accuracy of crime detection. The basic aim to provide with online application that could generate a quick and analysed view of crime against women scenario in India.

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k-means,Logistic Regression Algorithm, Support Vector Machine Algorithm , Random Forest Algorithm

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Gender, Marriage, Emotion, Choices, Awareness of self, Emotional Intelligence.

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Creative Commons Attribution 4.0 and The Open Definition

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Input Image, Face Detection, Feature extraction, Face Emotion classification, Quotes display

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 Abstract

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Sexual Assault, Abuse, Rape, Popular Fiction, Socio-feminism, Feminist criticism, Marginalization. Desensitization.

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APPLICATIONS OF ARTIFICIAL INTELLIGENCE ON BUSINESS ANALYTICS

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APPLICATIONS OF ARTIFICIAL INTELLIGENCE ON BUSINESS ANALYTICS

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High growth of the population of the world creates the severe crisis of the protein for the consumption of the human being. It is very difficult problem of the day. To solve this, a study was conducted on the culture of the palatable Gangetic Koi fish ( Anabas cobojius ). The growth of the well feeded Gangetic Koi fish of the treated tank is enhanced in length, breadth and weight. The yield of the Koi fish is also increased (26%) in the production. The other study showed that the growth of the Koi fish stands stagnant after 120th day of the age. So, the harvesting of the fish is economically profitable between 110 - 120th day considering the economics of the cost of the culture.

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Gangetic Koi fish, Tank preparation, Feeds, Pellet, Fish growth rate.

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Creative Commons Attribution 4.0 and The Open Definition

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It takes time and effort to locate the necessary fabric at a neighborhood textile shop. Our website makes it possible for consumers to locate the needed fabric at their convenience without having to struggle through exploring multiple stores. This feature is useful for consumers who are short on time. By making it accessible online, retailers may increase their sales. The available database also allows the merchants to locate specific fabrics in the textile store. This automation enables the merchants to serve more consumers in a shorter amount of time. Pattern recognition would be a challenging task and it is the factor that makes this application worthy. Here comes, Computer Vision and Digital Image Processing tools which plays a crucial role in applications to recognize patterns in images as well as machine learning enabling us to provide the best possible match of required fabric and patterns. In addition to this, a questionnaire regarding the fabric also plays an important role to provide the best possible recommendations. Finally, this application enables us to find the required fabric for the customers and recommend a nearby textile store with the availability.

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 Keywords

CBIR, Flask, OpenCV-python, Feature extraction, Feature matching, colour histograms, KNN algorithm, Chi-square distances, Feature database, Product database

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Creative Commons Attribution 4.0 and The Open Definition